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Interactive and Dynamic Graphics for Data Analysis
Dianne CookDeborah F. Swayne
其他書名
With R and GGobi
出版Springer Science & Business Media, 2007-12-12
主題Computers / Software Development & Engineering / Computer GraphicsComputers / Computer ScienceComputers / Data Science / Data AnalyticsComputers / Artificial Intelligence / Expert SystemsComputers / Information TechnologyComputers / Languages / GeneralComputers / Mathematical & Statistical SoftwareComputers / Data Science / BioinformaticsComputers / Data Science / Data VisualizationMathematics / Graphic MethodsMathematics / Probability & Statistics / GeneralMathematics / Probability & Statistics / Stochastic ProcessesMathematics / CombinatoricsScience / Life Sciences / BiologyScience / Life Sciences / Molecular BiologyScience / Life Sciences / Anatomy & PhysiologyScience / Bioinformatics
ISBN03877176179780387717616
URLhttp://books.google.com.hk/books?id=34DL7lR_4CoC&hl=&source=gbs_api
EBookSAMPLE
註釋This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods. The area of int- active and dynamic data visualization emerged within statistics as part of research on exploratory data analysis in the late 1960s, and it remains an active subject of research today, as its use in practice continues to grow. It now makes substantial contributions within computer science as well, as part of the growing ?elds of information visualization and data mining, especially visual data mining. The material in this book includes: • An introduction to data visualization, explaining how it di?ers from other types of visualization. • Adescriptionofourtoolboxofinteractiveanddynamicgraphicalmethods. • An approach for exploring missing values in data. • An explanation of the use of these tools in cluster analysis and supervised classi?cation. • An overview of additional material available on the web. • A description of the data used in the analyses and exercises. The book’s examples use the software R and GGobi. R (Ihaka & Gent- man 1996, RDevelopment CoreTeam2006) isafreesoftware environment for statistical computing and graphics; it is most often used from the command line, provides a wide variety of statistical methods, and includes high–quality staticgraphics.RaroseintheStatisticsDepartmentoftheUniversityofAu- land and is now developed and maintained by a global collaborative e?ort.